Webinar Series September 16, 2024
16 September 2024, 11 AM – 12 PM ET
View Recording | View Matti Pietikäinen’s Presentation | View Special Issue
Description
Affective computing’s history goes back over 25 years, with its roots going back even earlier in time. As a field, it has been one of the earliest adopters of deep learning and is in its nature massively multimodal, spanning from audio over text, images, video, physiological, to haptical and further data. At the same time, it encompasses analysis to synthesis and is massively based on signal processing and machine learning. Affective computing is also highly interdisciplinary with contributions from computer science and engineering to psychology, philosophy, medicine, and many other disciplines such as linguistics, musicology, or arts. This webinar will provide an overview of this exciting area and touch upon the four major subfields in affective computing, namely affect analysis, affect synthesis, applications, and ethics. Panelists will also provide insights into the challenges and opportunities in this field.
Panelists
- Bjoern Schuller (Technical University of Munich)
- Matti Pietikäinen (University of Oulu)
- Shrikanth Narayanan (University of Southern California)
- Maja Pantic (Imperial College London)